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AnyLogic and AnyLogic Cloud releases update MHL, API, UI, and more


AnyLogic and AnyLogic Cloud releases update MHL, API, UI, and more

Before a festive break code freeze, updates for both AnyLogic and AnyLogic Cloud arrived. Contained within them were several improvements that we'll take a look at in this blog.

For AnyLogic, we introduced new rack functionality for the Material Handling Library and added file output capability for models exported to AnyLogic Cloud. While for AnyLogic Cloud, we added enterprise features, made user experience improvements, and increased security. Let’s take a look!

Building environmentally friendly models


Building environmentally friendly models

Even though your business may not involve anything remotely related to farming or agriculture, we believe our modeling approach is useful for demonstrating how an interactive simulation model can be used to improve collaboration and decision making.

Let’s examine a model where we used high-level aggregate data and focused on the interactions between different processes. NB: No animals have been harmed during these simulations.

Product Delivery Reinforcement Learning


Product Delivery Reinforcement Learning

Accenture partnered with San Francisco based AI company Pathmind to investigate the potential of new reinforcement learning (RL) opportunities in simulation.

The results obtained were extremely good. The method produced a waiting time more than 4x shorter than the Nearest Agent heuristic.

In this blog post, Agustin Albinati summarizes the model, introduces the three key considerations when defining the neural net, and presents the results of his team's investigations. Linked at the end of the blog post is a step by step how-to with Pathmind. Read on!